Operations Manager – AI Data Annotation ProjectsAwign • dombivli, maharashtra, in
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Operations Manager – AI Data Annotation Projects
Awign • dombivli, maharashtra, in
11 days ago
Job descriptionBuild and manage QA processes (Dedicated QA teams / distributed QA model). Analyse training needs and conduct training sessions for teams on tools, guidelines & quality expectations. Ensure feedback loops are set and corrective actions are implemented promptly. Continuously optimize quality, productivity and process efficiency. Manage and mentor a young team of editors, annotators, reviewers and leads (50–300+ workforce scale). Demonstrate strong people engagement, motivation and team-building skills. Liaise with foreign clients (primarily US) professionally for updates, alignment and escalations. Vendor management for external language support (foreign languages + regional languages). Suggest improvements at every level of operations—people, tools, SOPs, QC, training and delivery framework. High sense of ownership with a strong bias for action and ability to work in dynamic & unstructured environments. Advanced Excel & Google Sheets expertise – including formulas, dashboards, pivot tables, reports, data modeling. Experience using scripts / macros / automations for process efficiency (Google Scripts, Basic Python, or Excel VBA advantage). Strong analytical skills & comfort with data-driven decision making. Familiarity with annotation tools, workforce management systems, QC systems (added advantage). Bonus : Experience in AI / ML data ops, content moderation, transcription, or linguistic projects. 4–7 years in Operations Management, Project Management or Data / Annotation Ops. Experience handling multilingual data projects; Tamil mandatory. Ability to work across cross-functional teams including Product, QA, HR, and Clients. Strong communication skills – impeccable English (spoken + written). Hindi preferred. Bachelor’s or Master’s degree from a reputable institution.
We are looking for a high-ownership Operations Manager to lead and scale multilingual AI data annotation projects. The candidate should have strong experience in managing large-scale data / annotation operations, workforce management, client communications (including US / foreign clients), and end-to-end delivery with strong quality controls.
✅ Key Responsibilities
Project & Operations Management
- Take ownership of end-to-end operations for large-scale data annotation / labeling projects across languages.
- Run pilots successfully and transition them into scaled delivery models.
- Handle day-to-day operations : execution, driving daily volumes, tracking progress, flagging risks, and daily client / internal reporting.
- Set clear goals, targets, KPIs and KRAs for the team and ensure consistent achievement.
- Work closely with the product / tech team to improve workflows, tools, and productivity.
- Proven ability to drive tightly controlled operational metrics with SLA adherence.
- Strong process orientation and business acumen.
Quality & Training
People & Stakeholder Management
Process Excellence & Improvement
📊 Technical Skills Required
🎯 Eligibility & Preferred Background
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Operation Manager • dombivli, maharashtra, in
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